Recent and Future Developments in the Use of Poly (ADP-ribose) Polymerase Inhibitors for Prostate Cancer

Francesca Zacchi1, Wassim Abida2, Emmanuel S Antonarakis3

  • 1Section of Innovation Biomedicine-Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, Verona, Italy.

European Urology Oncology
|December 5, 2024
PubMed
Abstract

Insights

Poly (ADP-ribose) polymerase inhibitors (PARPi) show efficacy in advanced prostate cancer (PCa) with DNA damage repair gene alterations, particularly BRCA1/2 mutations. Combination strategies and improved biomarkers are key to expanding PARPi benefits in PCa treatment.

Area of Science:

  • Oncology
  • Genetics
  • Pharmacology

Background:

  • Advanced prostate cancer (PCa) frequently exhibits DNA damage repair gene alterations.
  • Poly (ADP-ribose) polymerase inhibitors (PARPi) leverage synthetic lethality, showing effectiveness in PCa with homologous recombination repair (HRR) gene alterations, including BRCA1/2 mutations.

Purpose of the Study:

  • To review the latest clinical trial developments for PARPi in advanced and earlier-stage PCa.
  • To discuss patient selection and biomarker identification for enhancing PARPi efficacy.
  • To explore combination treatment strategies for PARPi in PCa.

Main Methods:

  • Review of clinical trials investigating PARPi in prostate cancer.
  • Analysis of biomarker data for patient stratification.
  • Examination of combination therapy studies.

Main Results:

  • Two PARPi (olaparib, rucaparib) are approved for metastatic castration-resistant PCa, marking the first biomarker-guided indications.
  • Combinations of PARPi with androgen receptor pathway inhibitors are approved.
  • Anemia and fatigue are primary adverse events; gastrointestinal toxicities are common but manageable.

Conclusions:

  • PARPi are effective in PCa with HRR mutations, especially BRCA1/2 alterations.
  • Further optimization of patient stratification is needed for combination therapies.
  • Future research should focus on predictive biomarkers, treatment delivery, and earlier disease settings.